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An integrated multi-layer 3D-fabrication of PDA/RGD coated graphene loaded PCL nanoscaffold for peripheral nerve restoration

Author

Listed:
  • Yun Qian

    (Shanghai Jiao Tong University
    Shanghai Jiao Tong University Affiliated Sixth People’s Hospital
    Shanghai University of Medicine and Health)

  • Xiaotian Zhao

    (Shanghai Jiao Tong University)

  • Qixin Han

    (Shanghai Jiao Tong University)

  • Wei Chen

    (Shanghai Jiao Tong University Affiliated Sixth People’s Hospital)

  • Hui Li

    (University of California)

  • Weien Yuan

    (Shanghai Jiao Tong University)

Abstract

As a conductive nanomaterial, graphene has huge potentials in nerve function restoration by promoting electrical signal transduction and metabolic activities with unique topological properties. Polydopamine (PDA) and arginylglycylaspartic acid (RGD) can improve cell adhesion in tissue engineering. Here we report an integrated 3D printing and layer-by-layer casting (LBLC) method in multi-layered porous scaffold fabrication. The scaffold is composed of single-layered graphene (SG) or multi-layered graphene (MG) and polycaprolactone (PCL). The electrically conductive 3D graphene scaffold can significantly improve neural expression both in vitro and in vivo. It promotes successful axonal regrowth and remyelination after peripheral nerve injury. These findings implicate that graphene-based nanotechnology have great potentials in peripheral nerve restoration in preclinical and clinical application.

Suggested Citation

  • Yun Qian & Xiaotian Zhao & Qixin Han & Wei Chen & Hui Li & Weien Yuan, 2018. "An integrated multi-layer 3D-fabrication of PDA/RGD coated graphene loaded PCL nanoscaffold for peripheral nerve restoration," Nature Communications, Nature, vol. 9(1), pages 1-16, December.
    • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-017-02598-7
    DOI: 10.1038/s41467-017-02598-7
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    Cited by:

    1. Lingchi Kong & Xin Gao & Xiangyun Yao & Haijiao Xie & Qinglin Kang & Wei Sun & Zhengwei You & Yun Qian & Cunyi Fan, 2024. "Multilevel neurium-mimetic individualized graft via additive manufacturing for efficient tissue repair," Nature Communications, Nature, vol. 15(1), pages 1-17, December.

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